Ethics of AI in HR: Impacts on Trust and Engagement

The continuous adoption of Artificial Intelligence (AI) in Human Resource (HR)
management has greatly changed in the way organizations recruit, appraise, and
manage employees. In this research paper, the author investigates AI ethics in HR
and specifically how it affects the levels of trust and engagement of employees in
organizations. The research paper will discuss the impact of AI-based HR systems on
decision making, including recruiting, performance appraisal, promotion and
monitoring employees. Mixed-method approach is used, which entails quantitative
values based on organizational HR usage trends with qualitative values based on the
analysis of the employee and HR professional perspectives based on existing studies.
The results indicate that AI in HR is widely implemented in the various organizations
based on the level of technology preparedness, the governance systems, and the level
of ethical consciousness. Although AI is more efficient, in some situations, it
minimizes bias, and promotes data-driven decision making, it also brings up ethical
issues associated with transparency, algorithmic bias, privacy, and accountability.
These issues directly affect the level of employee trust and some of the employees see
AI systems as unbiased and effective, whereas others see it as a black box and,
possibly, unjust. Moreover, the engagement of employees depends on the extent to
which they trust AI systems since increased transparency and explainability results
in increased acceptance and engagement, and a lack of any transparency decreases
morale and commitment to the organization. Strategic/policy-based
recommendations, including the creation of ethical AI governance systems, human-
AI joint decision-making systems, and enhanced standards of transparency in HR
technologies are also discussed in the paper. This work can be used to add to the
accumulating literature on responsible AIs adoption in workplaces by emphasizing
the ethical implications of AI in HR and offer useful insights to organizations, which
wish to find a balance between innovation and employee trust and engagement.
Keywords: Artificial Intelligence, Human Resource Management, AI Ethics,
Employee trust, Employee engagement, Algorithmic bias, HR technology,
Workplace transparency, Digital HR, Responsible AI.